Skip to main content
SpringerLink
Log in

Information Visualisation for Project Management: Case Study of Bath Formula Student Project

  • Conference paper
  • First Online:
Design Computing and Cognition '18 (DCC 2018)

Included in the following conference series:

  • 927 Accesses

Abstract

This paper contributes to a better understanding and design of dashboards for monitoring of engineering projects based on the projects’ digital footprint and user-centered design approach.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://locm.blogs.ilrt.org/.

References

  1. Arias-Hernandez R, Fisher B (2013) A qualitative methodology for design of visual analytic tools for emergency operation centers. In: proceedings of the international conference on system sciences, 126–135

    Google Scholar 

  2. Bačić D, Fadlalla A (2016) Business information visualization intellectual contributions: an integrative framework of visualization capabilities and dimensions of visual intelligence. Decis Support Syst 89:77–86

    Article  Google Scholar 

  3. Briggs D (2012) Data distribution on the 787, bringing model based definition to the world. In: Collaboration and interoperability congress, Denver, 21–23 May 2012

    Google Scholar 

  4. Card SK, Mackinlay JD, Shneiderman B (1999) Readings in information visualization: using vision to think. Morgan Kaufmann, San Diego, USA

    Google Scholar 

  5. Carpendale S (2008) Evaluating information visualizations. In: Information visualization: human-centered issues and perspectives, 19–45

    Google Scholar 

  6. Chen Y, Yang J, Ribarsky W (2009) Toward effective insight management in visual analytics systems. In: IEEE pacific visualization symposium 2009, 49–56

    Google Scholar 

  7. Choe EK, Lee B, Schraefel MC (2015) Characterizing visualization insights from quantified selfers’ personal data presentations. IEEE Comput Graphics Appl 35(4):28–37

    Article  Google Scholar 

  8. Daintith J, Wright E (2008) A dictionary of computing, 6 edn. Oxford university press

    Google Scholar 

  9. Ellis G, Dix A (2006) An explorative analysis of user evaluation studies in information visualisation. In: Proceedings of the BELIV’2006, ACM press, 1–7

    Google Scholar 

  10. Gaardboe R, SVARRE T, Kanstrup AM (2015) Characteristics of business intelligence and big data in e-government: preliminary findings. In: Innovation and the public sector, p. 109

    Google Scholar 

  11. Hicks B, McAlpine H, Gopsill J, Snider C (2016) The digital footprint of engineering design projects: sensors for project health monitoring. In: International conference on design computing and cognition (DCC 2016)

    Google Scholar 

  12. Hicks BJ, Culley SJ, Allen RD, Mullineux G (2002) A framework for the requirements of capturing, storing and reusing information and knowledge in engineering design. Int J Inf Manage 22:263–280

    Article  Google Scholar 

  13. IMechE (2017) Formula Student: http://events.imeche.org/formula-studentAccessed December 14, 2017

  14. Isenberg T, Isenberg P, Chen J, Sedlmair M, Moller T (2013) A systematic review on the practice of evaluating visualization. IEEE Trans Visual Comput Graphics 19(12):2818–2827

    Article  Google Scholar 

  15. Jackson B, Coffey D, Thorson L, Schroeder D, Ellingson AM, Nuckley DJ Keefe, DF (2012). Toward mixed method evaluations of scientific visualisations and design process an evaluation tool. In Proceedings of the BELIV’2012, ACM press, 4

    Google Scholar 

  16. Lam H, Bertini E, Isenberg P, Plaisant C, Carpendale S (2012) Empirical studies in information visualization: seven scenarios. IEEE Trans Visual Comput Graphics 18(9):1520–1536

    Article  Google Scholar 

  17. Lurie NH, Mason CH (2007) Visual representation: implications for decision making. J Mark 71(1):160–177

    Article  Google Scholar 

  18. Miles MB, Huberman AM (1994) Qualitative data analysis: an expanded sourcebook. Sage

    Google Scholar 

  19. Munzner T (2009) A nested model for visualization design and validation. IEEE Trans Visual Comput Graphics 15(6):921–928

    Article  Google Scholar 

  20. North C (2006). Toward measuring visualization insight. IEEE Comput Graph Appl: Vis Viewpoints, May/June 2006, 20–23

    Google Scholar 

  21. Plaisant C (2004) The challenge of information visualization evaluation. In: IEEE Proceedings of the advanced visual interfaces 04, 109–116

    Google Scholar 

  22. Plaisant C, Fekete JD, Grinstein G (2008) Promoting insight-based evaluation of visualizations: from contest to benchmark repository. IEEE Trans Visual Comput Graphics 14(1):120–134

    Article  Google Scholar 

  23. Raymond L, Bergeron F (2008) Project management information systems: an empirical study of their impact on project managers and project success. Int J Project Manage 26:213–220

    Article  Google Scholar 

  24. Saraiya P, North C, Duca K (2005) An insight-based methodology for evaluation bioinformatics visualizations. IEEE Trans Visual Comput Graphics 11(4):1–14

    Article  Google Scholar 

  25. Sedlmair M, Meyer M, Munzer T (2012) Design study methodology: reflections from the trenches and the stacks. IEEE Trans Visual Comput Graphics 18(12):2431–2440

    Article  Google Scholar 

  26. Shneiderman B, Plaisant C (2006) Strategies for evaluating information visualization tools: multi-dimensional in-depth long-term case studies. In Proceedings of the BELIV’2006, ACM press, 1–7

    Google Scholar 

  27. Spence R (2001) Information visualization. Addison-Wesley

    Google Scholar 

  28. Trieu VH (2017) Getting value from business intelligence systems: a review and research agenda. Decis Support Syst 93:111–124

    Article  Google Scholar 

  29. Tableau software (2013) Technical specifications—Tableau desktop http://www.tableausoftware.com/products/desktop/techspecsAccessed December 6, 2017

  30. Watson HJ, Wixom BH (2007) The current state of business intelligence. IEEE IT Syst Perspect, 96–99

    Article  Google Scholar 

  31. Wixom BH, Watson HJ, Reynolds AM, Hoffer JA (2008) Continental airlines continues to soar with business intelligence. Inform Syst Manage 25(2):102–112

    Article  Google Scholar 

  32. Woźniak P, Valton R, Fjeld M (2015) Volvo single view of vehicle: building big data service from scratch in the automotive industry. In Proceedings of the CHI 2015, ACM press, 671–678

    Google Scholar 

  33. Wu I, Hsieh S (2012) A framework for facilitating multi-dimensional information integration, management and visualization in engineering projects. Autom Constr 23:71–86

    Article  Google Scholar 

  34. Yi JS, Kang YA, Stasko JT, Jacko JA (2008) Understanding and characterizing insights: how do people gain insights using information visualization?. In: Proceedings of the 2008 workshop on BEyond time and errors: novel evaLuation methods for Information Visualization ACM, April 2008, (p. 4)

    Google Scholar 

Download references

Acknowledgements

This work was done under the auspices of the Language of Collaborative Manufacturing (LOCM) project funded by the Engineering and Physical Sciences Research Council (EPSRC), UK, grant reference EP/K014196/2. The study was conducted in accordance with the local departmental codes of ethics (Department of Computer Science, University of Bath) and the University of Bath’s concordat for research integrity. All data, including the consent forms, was stored and processed in line with the EU General Data Protection Regulation (GDPR) guidelines of anonymity.

Author information

Authors and Affiliations

  1. University of Bristol, Bristol, UK

    Nataliya Mogles, Chris Snider, Ben Hicks & David Jones

  2. University of Bath, Bath, UK

    James Gopsill, Kevin Robinson & Linda Newnes

  3. Nomensa Company, Bristol, UK

    Lia Emanuel

  4. Aston Business School, Aston University, Birmingham, UK

    Sian Joel-Edgar

Authors
  1. Nataliya Mogles
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lia Emanuel
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Chris Snider
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. James Gopsill
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Sian Joel-Edgar
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Kevin Robinson
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Ben Hicks
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. David Jones
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Linda Newnes
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nataliya Mogles .

Editor information

Editors and Affiliations

  1. Department of Computer Science and School of Architecture, University of North Carolina at Charlotte, Charlotte, NC, USA

    John S. Gero

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mogles, N. et al. (2019). Information Visualisation for Project Management: Case Study of Bath Formula Student Project. In: Gero, J. (eds) Design Computing and Cognition '18. DCC 2018. Springer, Cham. https://doi.org/10.1007/978-3-030-05363-5_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-05363-5_35

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05362-8

  • Online ISBN: 978-3-030-05363-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation